Update README.md

README.md

@@ -10,7 +10,7 @@ license: apache-2.0
 
 slim-sentiment has been fine-tuned for **sentiment analysis** function calls, generating output consisting of JSON dictionary corresponding to specified keys.  
 
-Each slim model has a corresponding 'tool' in a separate repository, e.g., [**'slim-sentiment-tool'**](www.huggingface.co/llmware/slim-sentiment-tool/), which a 4-bit quantized gguf version of the model that is intended to be used for inference.  
+Each slim model has a corresponding 'tool' in a separate repository, e.g., [**'slim-sentiment-tool'**](https://huggingface.co/llmware/slim-sentiment-tool), which a 4-bit quantized gguf version of the model that is intended to be used for inference.  
 
 Inference speed and loading time is much faster with the 'tool' versions of the model.   
 
@@ -47,7 +47,6 @@ All of the SLIM models use a novel prompt instruction structured as follows:
 
 The fastest way to get started with BLING is through direct import in transformers:
 
-    '''python
     import ast
     from transformers import AutoModelForCausalLM, AutoTokenizer